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cristoferarango

blender-studio-pro-mcp

push_action_to_nla

Convert an action into an NLA strip on any object, inserting it at a specified frame and track to organize and layer animations.

Instructions

Push an action to the NLA editor as a strip.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
track_nameNo
action_nameNo
object_nameYes
start_frameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only says 'push an action to the NLA editor as a strip,' implying a mutation but not stating side effects, reversibility, or what happens to existing strips. It also does not describe the return value despite an output schema being present. This is a significant gap for a potentially state-changing operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, which is concise in length but fails to convey enough information to be useful. It is under-specified rather than appropriately concise; there is no front-loading of critical details, and the brevity detracts from usability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that this tool has four parameters, no annotations, and a non-trivial domain (NLA editor in a 3D application), the description is grossly insufficient. It does not explain the meaning of 'action', the relationship to the NLA system, or any required setup. An agent would be unable to correctly invoke this tool without external knowledge.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, meaning neither the schema nor the description explains the four parameters (track_name, action_name, object_name, start_frame). The description adds no parameter information whatsoever, leaving the agent with zero semantic guidance for filling in these fields. This is a critical deficiency.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear action ('push an action') and target ('NLA editor as a strip'), which is specific and distinguishable from vague operations. It does not explicitly contrast with similar tools like assign_action, but the phrasing itself makes the NLA focus evident. It lacks any mention of prerequisites or conditions, but the core purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives like assign_action or list_actions. The description merely states what it does without contextual cues about typical use cases, prerequisites, or scenarios where it should be avoided. No alternatives or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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